The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In remote sites (north Canada, islands …); diesel generators are used to produce electricity. This method is relatively inefficient, very expensive and responsible for the emission of large amounts of greenhouse gases. The development and use of a wind-solar-diesel-battery hybrid system will eliminate the main barriers to the deployment of renewable energy in remote locations and decrease production...
This paper proposes biogeography based optimization (BBO) algorithm and genetic algorithm (GA) to solve the unit commitment problem incorporating the wind energy (UCIW) uncertainty. Unit commitment (UC) problem is mainly finding the minimum cost schedule to a set of generators by turning each one either on or off over a given time horizon to meet the demand load and satisfy different operational constraints...
The power supply of remote sites and applications at minimal cost and with low emissions is an important issue when discussing future energy concepts. This paper presents modeling and optimization of a photovoltaic (PV)/wind/diesel system with batteries storage for electrification to an off-grid remote area located in Rafsanjan, Iran. For this location, different hybrid systems are studied and compared...
Distributed generation is a new way for energy using and microgrid is a good solution for distributed generation connecting. For a better plan of optimizing operation for the microgrid, this paper uses a method named game theory method. By converting the objects into players and the functions to utility functions and with the help of impact factor and cluster the variables are converted to strategies...
This paper proposes a methodology for configuring hybrid solar-wind-diesel-energy systems at minimum cost and minimum dumped load. An iterative optimisation technique has been developed to calculate, the optimum system configuration to achieve minimum hours of loss of power supply and minimum annualized cost of system (ACS). The decision variables included in the optimization process are the number...
The location of a wind turbine is fundamental to enhance its performance. However, there are other factors that should be taken into account when deciding the best position for a wind turbine. This paper presents the influence of a wind penetration sitting in different distribution networks for the optimization of the economic dispatch problem. A genetic algorithm is developed to solve this problem...
This paper presents an algorithm for optimal design of hybrid renewable energy system consisting of wind turbines, photovoltaic modules, micro-hydro and biomass units. In this approach, unit cost of energy ($/kWh) is used to compare different renewable projects. For each renewable generating unit, energy cost is computed using the unit's levelized cost and annual energy production. An objective function...
This paper presents an emission minimization economic dispatch problem to investigate effects of wind power on emission control. The random nature of wind power is characterized by weibull probability distribution function to solve the probabilistic wind-thermal economic emission dispatch problem. The terms like overestimation and underestimation of available wind power are included in this optimization...
Due to ever increasing energy demand and expectation, microgrid has received a great attention. Microgrid can be viewed as a cluster of loads and parallel DG units installed at consumer's sites. The main objective of this paper is to address on the issue of optimal operating strategy and cost optimization scheme for a microgrid using three evolutionary techniques, namely Particle Swarm Optimization...
Theobjectiveof this paper is to develop an optimally-sized microgrid system composed of wind turbine, diesel generator and hydrogen-based energy storage system for a remote community. The goal is to meet the instantaneous demand, while minimizing the cost of electricity and adverse impacts of burning fossil fuels on the environment. The wind turbine is the main source of energy. The electrolyser is...
In this paper, an optimization model of Green Hydrogen Refuelling Station (GHRS) is presented. The GHRS is powered completely by a wind farm to satisfy predefined hydrogen fuel and electrical energy demands. The model based on a mathematical programming is developed to control both energy and hydrogen flows exchanged among the system components. The optimization model has been applied on one week...
This paper focuses on the development of a methodology for calculation of the sizing and optimization of a stand-alone hybrid system. This approach makes use of a deterministic algorithm to suggest, among a list of commercially available system devices, the optimal number and type of units ensuring that the total costs of the autonomous hybrid systems are minimized while guaranteeing the availability...
This paper proposes a new method to manage the daily operation of MicroGrid (MG) for residential applications. Thorough discussion and simulations are conducted to clarify and highlight the principle of the method. Nonlinear optimization problem formulation is also performed. The proposed cost function takes into consideration the costs of the emissions NOx, SO2, and CO2 as well as the operation and...
In this paper we develop an emission mitigation model for the system consisting of both thermal generators and wind turbines. The wind power is a random variable and is assumed to follow the beta distributions. In this model, the probability of wind power is included in the constraint set. This approach may avoid the probabilistic infeasibility caused by improperly using the average of random variables...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.